Immune genetic algorithm-based parameters optimization of cognitive radios

摘要

Genetic algorithms are best suited for optimization problems. But premature convergence exists when genetic algorithm applied for optimization problems. The immune genetic algorithm (IGA) combined artificial immune system and GA together is presented to overcome this problem. Finally, the IGA is used to solve parameter optimization problems of cognitive radios. Simulation results demonstrate that IGA can rapidly reach an optimal decision.